Epidemiology Case 1 Part 2
Task 2 for this modular component
1. As part of a State Budget and Appropriations Subcommittee, you have been charged with reviewing health data of local health jurisdictions and establishing priorities for funding for the upcoming fiscal year.
Review the following information
| Eagle Rock County | San Marino County | Baldwin County | |
| Population | |||
| <65 years | 2,490,653 | 299,658 | 250,765 |
| >65 years | 372,166 | 99,885 | 2,857 |
| Total Population | 2,862,819 | 399,543 | 253,622 |
| Number of Deaths | |||
| <65 years | 4,955 | 900 | 1,854 |
| >65 yrs | 9,845 | 3,700 | 455 |
| Total Deaths | 14,800 | 4,600 | 2,309 |
| Cause of Death | |||
| Coronary Heart Disease | 6,200 | 1,800 | 790 |
| Cancer | 3,300 | 1,000 | 429 |
| Homicide | 3,100 | 800 | 450 |
| Motor Vehicle Accident | 2,200 | 1,000 | 640 |
Your task is to answer these questions:
Calculate and compare the crude and age-specific death rates for each of the three counties. Based on the crude death rate, which county appears to have the greatest need for funding? Does the age-specific death rate change your view regarding which county has a greater need for funding? Explain. Why is it possible to have a low crude rate and higher age-specific death rates?
Calculate and compare the cause-specific death rates (Use the information at http://www.pitt.edu/~super1/lecture/lec0441 from your background readings). For this, combine data from all counties. Based on the data provided, what do you think are the main health priorities?
Length: 2 pages, APA format, peer-reviewed scholarly sources
Useful Resources:
Statistical Methods: Incidence and Death Rates. (2020, June 08). Retrieved from https://www.cdc.gov/cancer/uscs/technical_notes/stat_methods/rates.htm
Coggon, D., Rose, G., & Barker, D. J. P. (2007). Epidemiology for the uninitiated (4th edition). British Medical Journal. Retrieved May 22, 2012, from http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated
Coggon, D., Rose, G., & Barker, D. J. P. (2007). Chapter 2: Quantifying disease in populations. In Epidemiology for the Uninitiated (4th edition). British Medical Journal. Retrieved on May 22, 2012, from: http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated
Center for Disease Control and Prevention. (2014). Timeline for Reporting Cases of E. coli O157 Infection. Retrieved from https://www.cdc.gov/ecoli/reporting-timeline.html
Center for Disease Control and Prevention. (2019) E.coli. Retrieved from https://www.cdc.gov/ecoli/index.html
Center for Disease Control and Prevention. (2018). Introduction to Epidemiology: Public Health 101 Series. Retrieved from https://www.cdc.gov/publichealth101/epidemiology.html#anchor_topics
Center for Disease Control and Prevention. (2017). Surveillance Case Definitions. Retrieved from https://wwwn.cdc.gov/nndss/case-definitions.html
Libre Texts. (2019). 10.5A: Descriptive Epidemiology. Retrieved from https://bio.libretexts.org/Bookshelves/Microbiology/Book%3A_Microbiology_(Boundless)/10%3A_Epidemiology/10.5%3A_Epidemiology_and_Public_Health/10.5A%3A_Descriptive_Epidemiology
Martin, E.T. (2019). Genetic detectives: how scientists use DNA to track disease outbreaks. Retrieved from https://theconversation.com/genetic-detectives-how-scientists-use-dna-to-track-disease-outbreaks-57462
Silva, H. P., Padez, C., Moura, E. A. F., & Filgueiras, L. A. (2016). Obesity, hypertension, social determinants of health and the epidemiologic transition among traditional Amazonian populations. Annals of Human Biology, 43(4), 371-381.
Optional Reading
Center for Disease Control and Prevention. (2018). Shiga Toxin-producing Escherichia coli (STEC) 2018 Case Definition. Retrieved from https://wwwn.cdc.gov/nndss/conditions/shiga-toxin-producing-escherichia-coli/case-definition/2018/
